An ontology model to represent aquaponics 4.0 system’s knowledge

作     者：Rabiya Abbasi Pablo Martinez Rafiq Ahmad 

作者机构：Aquaponics 4.0 Learning Factory(AllFactory)Department of Mechanical EngineeringUniversity of Alberta9211116 St.EdmontonAB T6G 2G8Canada 

出 版 物：《Information Processing in Agriculture》 (农业信息处理（英文）)

年 卷 期：2022年第9卷第4期

页      面：514-532页

核心收录：

学科分类：090801[农学-水产养殖] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0908[农学-水产] 09[农学] 0901[农学-作物学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The authors acknowledge the financial support of this work by the Natural Sciences and Engineering Research Council of Canada(NSERC)(Grant File No.ALLRP 545537-19 and RGPIN-2017-04516) 

主　　题：Aquaponics 4.0 Industry 4.0 Ontology modeling Knowledge modeling Decision support system 

摘      要：Aquaponics,one of the vertical farming methods,is a combination of aquaculture and *** enhance the production capabilities of the aquaponics system and maxi-mize crop yield on a commercial level,integration of Industry 4.0 technologies is *** 4.0 is a strategic initiative characterized by the fusion of emerging technologies such as big data and analytics,internet of things,robotics,cloud computing,and artificial *** realization of aquaponics 4.0,however,requires an efficient flow and inte-gration of data due to the presence of complex biological processes.A key challenge in this essence is to deal with the semantic heterogeneity of multiple data *** ontology that is regarded as one of the normative tools solves the semantic interoperation problem by describing,extracting,and sharing the domains’*** the field of agriculture,several ontologies are developed for the soil-based farming methods,but so far,no attempt has been made to represent the knowledge of the aquaponics 4.0 system in the form of an ontology ***,this study proposes a unified ontology model,AquaONT,to rep-resent and store the essential knowledge of an aquaponics 4.0 *** ontology pro-vides a mechanism for sharing and reusing the aquaponics 4.0 system’s knowledge to solve the semantic interoperation *** is built from indoor vertical farming termi-nologies and is validated and implemented by considering experimental test cases related to environmental parameters,design configuration,and product *** proposed ontology model will help vertical farm practitioners with more transparent decision-making regarding crop production,product quality,and facility layout of the aquaponics *** future work,a decision support system will be developed using this ontology model and artificial intelligence techniques for autonomous data-driven decisions.